You are given an array nums
of size n
consisting of distinct integers from 1
to n
and a positive integer k
.
Return the number of non-empty subarrays innums
that have a median equal tok
.
- The median of an array is the middle element after sorting the array in ascending order. If the array is of even length, the median is the left middle element.
- For example, the median of
[2,3,1,4]
is2
, and the median of[8,4,3,5,1]
is4
.
- For example, the median of
- A subarray is a contiguous part of an array.
Input: nums = [3,2,1,4,5], k = 4 Output: 3 Explanation: The subarrays that have a median equal to 4 are: [4], [4,5] and [1,4,5].
Input: nums = [2,3,1], k = 3 Output: 1 Explanation: [3] is the only subarray that has a median equal to 3.
n == nums.length
1 <= n <= 105
1 <= nums[i], k <= n
- The integers in
nums
are distinct.
use std::collections::HashMap;implSolution{pubfncount_subarrays(nums:Vec<i32>,k:i32) -> i32{if !nums.contains(&k){return0;}let i = nums.iter().position(|&x| x == k).unwrap();letmut diff = 0;letmut count = HashMap::from([(0,1)]);letmut ret = 1;for j in i + 1..nums.len(){if nums[j] > k { diff += 1;}else{ diff -= 1;}if diff == 0 || diff == 1{ ret += 1;}*count.entry(diff).or_insert(0) += 1;} diff = 0;for j in(0..i).rev(){if nums[j] > k { diff += 1;}else{ diff -= 1;} ret += count.get(&-diff).unwrap_or(&0); ret += count.get(&(1 - diff)).unwrap_or(&0);} ret }}